Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Spezzatti A"'
Autor:
Julia Amann, Dennis Vetter, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Sara Gerke, Thomas K Gilbert, Thilo Hagendorff, Sune Holm, Michelle Livne, Andy Spezzatti, Inga Strümke, Roberto V Zicari, Vince Istvan Madai, Z-Inspection initiative
Publikováno v:
PLOS Digital Health, Vol 1, Iss 2, p e0000016 (2022)
Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper presents a review of the key arguments in favor and against explainability for AI-powered Clinical Decision Support System (CDSS) applied to a concrete us
Externí odkaz:
https://doaj.org/article/200acc72635340ffae06d9120b255b4e
Autor:
Roberto V. Zicari, James Brusseau, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Marianna B. Ganapini, Sara Gerke, Thomas Krendl Gilbert, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Ulrich Kühne, Vince I. Madai, Walter Osika, Andy Spezzatti, Eberhard Schnebel, Jesmin Jahan Tithi, Dennis Vetter, Magnus Westerlund, Renee Wurth, Julia Amann, Vegard Antun, Valentina Beretta, Frédérick Bruneault, Erik Campano, Boris Düdder, Alessio Gallucci, Emmanuel Goffi, Christoffer Bjerre Haase, Thilo Hagendorff, Pedro Kringen, Florian Möslein, Davi Ottenheimer, Matiss Ozols, Laura Palazzani, Martin Petrin, Karin Tafur, Jim Tørresen, Holger Volland, Georgios Kararigas
Publikováno v:
Frontiers in Human Dynamics, Vol 3 (2021)
Artificial Intelligence (AI) has the potential to greatly improve the delivery of healthcare and other services that advance population health and wellbeing. However, the use of AI in healthcare also brings potential risks that may cause unintended h
Externí odkaz:
https://doaj.org/article/5cc21d6ff55e4e10850010cb7075a1ee
Autor:
Roberto V. Zicari, Sheraz Ahmed, Julia Amann, Stephan Alexander Braun, John Brodersen, Frédérick Bruneault, James Brusseau, Erik Campano, Megan Coffee, Andreas Dengel, Boris Düdder, Alessio Gallucci, Thomas Krendl Gilbert, Philippe Gottfrois, Emmanuel Goffi, Christoffer Bjerre Haase, Thilo Hagendorff, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Pedro Kringen, Ulrich Kühne, Adriano Lucieri, Vince I. Madai, Pedro A. Moreno-Sánchez, Oriana Medlicott, Matiss Ozols, Eberhard Schnebel, Andy Spezzatti, Jesmin Jahan Tithi, Steven Umbrello, Dennis Vetter, Holger Volland, Magnus Westerlund, Renee Wurth
Publikováno v:
Frontiers in Human Dynamics, Vol 3 (2021)
This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of an artificial intelligence (AI) system component for healthcare. The system explains decisions made by deep learning networks ana
Externí odkaz:
https://doaj.org/article/e2e64c8269c74bb6b1a62dd06362edd7
Publikováno v:
The Ethics of Artificial Intelligence for the Sustainable Development Goals ISBN: 9783031211461
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f74c86327cbfbf682a9fed9f83edf1f
https://doi.org/10.1007/978-3-031-21147-8_24
https://doi.org/10.1007/978-3-031-21147-8_24
Autor:
Spezzatti, Lucie
Nella forma di un’investigazione plurilingue in dodici articoli, il volume Calvino, Tabucchi et le voyage de la traduction costituisce un’ampia riflessione interdisciplinare su due grandi autori italiani moderni che sono stati tradotti in molte l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::42c0023c6fc2c39783a829154b8b8004
http://journals.openedition.org/narrativa/2360
http://journals.openedition.org/narrativa/2360
Autor:
Zicari, Roberto V., Ahmed, Sheraz, Amann, Julia, Braun, Stephan A., Brodersen, John, Bruneault, Frédérick, Brusseau, James, Campano, Erik, Coffee, Megan, Dengel, Andreas, Düdder, Boris, Gallucci, Alessio, Krendl Gilbert, Thomas, Gottfrois, Philippe, Goffi, Emmanuel, Bjerre Haase, Christoffer, Hagendorff, Thilo, Hickman, Eleanore, Hildt, Elisabeth, Holm, Sune, Kringen, Pedro, Kühne, Ulrich, Lucieri, Adriano, Madai, Vince I., Moreno-Sánchez, Pedro A., Medlicott, Oriana, Ozols, Matiss, Schnebel, Eberhard, Spezzatti, Andy, Tithi, Jesmin J., Umbrello, Steven, Vetter, Dennis, Volland, Holger, Westerlund, Magnus, Wurth, Renee
Publikováno v:
Frontiers in Human Dynamics, 3
Zicari, R V, Ahmed, S, Amann, J, Braun, S A, Brodersen, J, Bruneault, F, Brusseau, J, Campano, E, Coffee, M, Dengel, A, Düdder, B, Gallucci, A, Gilbert, T K, Gottfrois, P, Goffi, E, Haase, C B, Hagendorff, T, Hickman, E, Hildt, E, Holm, S, Kringen, P, Kühne, U, Lucieri, A, Madai, V I, Moreno-Sánchez, P A, Medlicott, O, Ozols, M, Schnebel, E, Spezzatti, A, Tithi, J J, Umbrello, S, Vetter, D, Volland, H, Westerlund, M & Wurth, R 2021, ' Co-design of a trustworthy AI system in healthcare : Deep learning based skin lesion classifier ', Frontiers in Human Dynamics, vol. 3, 688152 . https://doi.org/10.3389/fhumd.2021.688152
Zicari, R V, Ahmed, S, Amann, J, Braun, S A, Brodersen, J, Bruneault, F, Brusseau, J, Campano, E, Coffee, M, Dengel, A, Düdder, B, Gallucci, A, Gilbert, T K, Gottfrois, P, Goffi, E, Haase, C B, Hagendorff, T, Hickman, E, Hildt, E, Holm, S, Kringen, P, Kühne, U, Lucieri, A, Madai, V I, Moreno-Sánchez, P A, Medlicott, O, Ozols, M, Schnebel, E, Spezzatti, A, Tithi, J J, Umbrello, S, Vetter, D, Volland, H, Westerlund, M & Wurth, R 2021, ' Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier ', Frontiers in Human Dynamics, vol. 3 . https://doi.org/10.3389/fhumd.2021.688152
Frontiers in Human Dynamics, 3:688152. Frontiers Media S.A.
Zicari, R V, Ahmed, S, Amann, J, Braun, S A, Brodersen, J, Bruneault, F, Brusseau, J, Campano, E, Coffee, M, Dengel, A, Düdder, B, Gallucci, A, Gilbert, T K, Gottfrois, P, Goffi, E, Haase, C B, Hagendorff, T, Hickman, E, Hildt, E, Holm, S, Kringen, P, Kühne, U, Lucieri, A, Madai, V I, Moreno-Sánchez, P A, Medlicott, O, Ozols, M, Schnebel, E, Spezzatti, A, Tithi, J J, Umbrello, S, Vetter, D, Volland, H, Westerlund, M & Wurth, R 2021, ' Co-design of a trustworthy AI system in healthcare : Deep learning based skin lesion classifier ', Frontiers in Human Dynamics, vol. 3, 688152 . https://doi.org/10.3389/fhumd.2021.688152
Zicari, R V, Ahmed, S, Amann, J, Braun, S A, Brodersen, J, Bruneault, F, Brusseau, J, Campano, E, Coffee, M, Dengel, A, Düdder, B, Gallucci, A, Gilbert, T K, Gottfrois, P, Goffi, E, Haase, C B, Hagendorff, T, Hickman, E, Hildt, E, Holm, S, Kringen, P, Kühne, U, Lucieri, A, Madai, V I, Moreno-Sánchez, P A, Medlicott, O, Ozols, M, Schnebel, E, Spezzatti, A, Tithi, J J, Umbrello, S, Vetter, D, Volland, H, Westerlund, M & Wurth, R 2021, ' Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier ', Frontiers in Human Dynamics, vol. 3 . https://doi.org/10.3389/fhumd.2021.688152
Frontiers in Human Dynamics, 3:688152. Frontiers Media S.A.
This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of an artificial intelligence (AI) system component for healthcare. The system explains decisions made by deep learning networks ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dc50ee4a393be40f411867b33aab1ff
Autor:
Amann, Julia, Vetter, Dennis, Blomberg, Stig Nikolaj, Christensen, Helle Collatz, Coffee, Megan, Gerke, Sara, Gilbert, Thomas K., Hagendorff, Thilo, Holm, Sune, Livne, Michelle, Spezzatti, Andy, Strümke, Inga, Zicari, Roberto V., Madai, Vince Istvan
Publikováno v:
Amann, J, Vetter, D, Blomberg, S N, Christensen, H C, Coffee, M, Gerke, S, Gilbert, T K, Hagendorff, T, Holm, S, Livne, M, Spezzatti, A, Strümke, I, Zicari, R V & Madai, V I 2022, ' To explain or not to explain? Artificial intelligence explainability in clinical decision support systems ', PLOS Digital Health, vol. 1, no. 2, e0000016 . https://doi.org/10.1371/journal.pdig.0000016
PLOS Digital Health
PLOS Digital Health, 1 (2)
PLOS Digital Health
PLOS Digital Health, 1 (2)
Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper pres- ents a review of the key arguments in favor and against explainability for AI-powered Clinical Decision Support System (CDSS) applied to a concrete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0a165103a77ee4ccb32dab36593ce74
https://curis.ku.dk/ws/files/298646424/To_explain_or_not_to_explain_Artificial_intelligence_explainability_in_clinical_decision_support_systems.pdf
https://curis.ku.dk/ws/files/298646424/To_explain_or_not_to_explain_Artificial_intelligence_explainability_in_clinical_decision_support_systems.pdf
Autor:
Lucie Spezzatti
Publikováno v:
Narrativa. :268-269
Publikováno v:
ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS).
Autor:
Zicari, Roberto V., Brusseau, James, Blomberg, Stig Nikolaj, Christensen, Helle Collatz, Coffee, Megan, Ganapini, Marianna B., Gerke, Sara, Gilbert, Thomas Krendl, Hickman, Eleanore, Hildt, Elisabeth, Holm, Sune, Kühne, Ulrich, Madai, Vince I., Osika, Walter, Spezzatti, Andy, Schnebel, Eberhard, Tithi, Jesmin Jahan, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee, Amann, Julia, Antun, Vegard, Beretta, Valentina, Bruneault, Frédérick, Campano, Erik, Düdder, Boris, Gallucci, Alessio, Goffi, Emmanuel, Haase, Christoffer Bjerre, Hagendorff, Thilo, Kringen, Pedro, Möslein, Florian, Ottenheimer, Davi, Ozols, Matiss, Palazzani, Laura, Petrin, Martin, Tafur, Karin, Tørresen, Jim, Volland, Holger, Kararigas, Georgios
Publikováno v:
Zicari, R V, Brusseau, J, Blomberg, S N, Christensen, H C, Coffee, M, Ganapini, M B, Gerke, S, Gilbert, T K, Hickman, E, Hildt, E, Holm, S, Kühne, U, Madai, V I, Osika, W, Spezzatti, A, Schnebel, E, Tithi, J J, Vetter, D, Westerlund, M, Wurth, R, Amann, J, Antun, V, Beretta, V, Bruneault, F, Campano, E, Düdder, B, Gallucci, A, Goffi, E, Haase, C B, Hagendorff, T, Kringen, P, Möslein, F, Ottenheimer, D, Ozols, M, Palazzani, L, Petrin, M, Tafur, K, Tørresen, J, Volland, H & Kararigas, G 2021, ' On assessing trustworthy AI in healthcare : Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls ', Frontiers in Human Dynamics, vol. 3, 673104 . https://doi.org/10.3389/fhumd.2021.673104
Artificial Intelligence (AI) has the potential to greatly improve the delivery of healthcare and other services that advance population health and wellbeing. However, the use of AI in healthcare also brings potential risks that may cause unintended h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2751::1fd842e5b33d0f15bdaef6ab34e55470
https://curis.ku.dk/portal/da/publications/on-assessing-trustworthy-ai-in-healthcare(c640d7bd-134b-406b-addd-948585f94b90).html
https://curis.ku.dk/portal/da/publications/on-assessing-trustworthy-ai-in-healthcare(c640d7bd-134b-406b-addd-948585f94b90).html